Timeline / Data.gov — Climate Datasets
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A new raw object was archived. Both versions are preserved. 856 line(s) added, 822 line(s) removed.
Evidence
| Source | Data.gov — Climate Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-16T06:16:34+00:00 |
| Content type | application/json |
| Current object |
214481388960a699441e7c2f98f441fc9b6f702a42a02cef249e7c30770ad82e
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metadata
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| Previous object |
c35237421a99697df24b4b073fe12004784aed68648be831bfd03b61a51fbf0f
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metadata
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-16T06:16:34+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 856 line(s) added, 822 line(s) removed.
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HLR groups watersheds on the basis of similarities \nin land-surface form, geologic texture, and climate characteristics.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates \nmany of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset \n(NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, \nnaming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments \n(drainage areas) produced using a drainage enforcement technique first widely used in New England, \nand thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale \nNHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering \nthe Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering \nthe Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production \nUnits 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains \nNHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, \ncontains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://water.usgs.gov/lookup/getspatial?nhd_hlr", + "description": "Landing page for access to the data", + "format": "XML", + "mediaType": "application/http", + "title": "Digital Data" + }, + { + "@type": "dcat:Distribution", + "description": "The metadata original format", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.93b2f75c-33bc-4cae-b48e-41b6f85d2e39.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "keyword": [ + "CALI", + "COGB", + "California", + "Catchment", + "Conterminous United States", + "GLMR", + "Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy", + "Hydrologic landscape regions", + "Inlandwaters", + "LMTG", + "Lower Mississippi, Arkansas-White-Red, and Texas-Gulf", + "MORI", + "MRB", + "MRB1", + "MRB2", + "MRB3", + "MRB4", + "MRB5", + "MRB6", + "MRB7", + "MRB8", + "Major River Basin", + "Missouri", + "NAWQA", + "NEMA", + "NHDPlus", + "New England and Mid-Atlantic", + "PANW", + "Pacific Northwest", + "Rio Grande, Colorado, and Great Basin", + "SAGT", + "SPARROW", + "South Atlantic-Gulf and Tennessee", + "USGS:93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "environment", + "geoscientificInformation", + "inlandWaters" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-127.910792, 23.243486, -65.327751, 51.657387", + "theme": [ + "geospatial" + ], + "title": "Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Hydrologic Landscape Regions" + }, + "description": "This data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. 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The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production Units 3 and 6. 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MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/ce8518ab-c55c-4a98-bf5c-67d84f328d18", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/ce8518ab-c55c-4a98-bf5c-67d84f328d18/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "keyword": [ + "CALI", + "COGB", + "California", + "Catchment", + "Conterminous United States", + "GLMR", + "Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy", + "Hydrologic landscape regions", + "Inlandwaters", + "LMTG", + "Lower Mississippi, Arkansas-White-Red, and Texas-Gulf", + "MORI", + "MRB", + "MRB1", + "MRB2", + "MRB3", + "MRB4", + "MRB5", + "MRB6", + "MRB7", + "MRB8", + "Major River Basin", + "Missouri", + "NAWQA", + "NEMA", + "NHDPlus", + "New England and Mid-Atlantic", + "PANW", + "Pacific Northwest", + "Rio Grande, Colorado, and Great Basin", + "SAGT", + "SPARROW", + "South Atlantic-Gulf and Tennessee", + "USGS:93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "environment", + "geoscientificInformation", + "inlandWaters" + ], + "last_harvested_date": "2026-09-16T00:46:11.962393", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 3, + "publisher": "U.S. Geological Survey", + "slug": "attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-hydrologi", + "spatial_centroid": { + "lat": 34.6090464, + "lon": -102.8775756 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -127.910792, + 23.243486 + ], + [ + -127.910792, + 51.657387 + ], + [ + -65.327751, + 51.657387 + ], + [ + -65.327751, + 23.243486 + ], + [ + -127.910792, + 23.243486 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Hydrologic Landscape Regions", + "type": "dataset" + }, + { + "_score": 19.105934, + "_sort": [ + 1789518976436, + 19.105934, + 1, + "e2714ff8-adf8-4a22-a8eb-601f30c5f482" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Martin A. Briggs", + "hasEmail": "mailto:mbriggs@usgs.gov" + }, + "description": "1D transient numerical simulations with a modified version of the SUTRA model \n(preliminary code) that accounts for variably-saturated freeze-thaw dynamics \n(e.g. McKenzie and Voss, 2013) to predict annual alluvial aquifer temperature \ndynamics using coupled fluid and heat transport physics. The model simulations \nwere run with a modified version of SUTRA_ICE (unreleased) that accomadates \na time-variable sinusiodal upper temperature boundary. This data release also \nincludes the source code and Argus One GUI files used to build the models, \nthough this proprietary software is not needed to run the models as described \nin the upper-level \"readme\" file.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/F7F47M8Q", + "description": "Landing page for access to the data", + "format": "XML", + "mediaType": "application/http", + "title": "Digital Data" + }, + { + "@type": "dcat:Distribution", + "description": "The metadata original format", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.8ec2db4f-7c68-42da-8beb-0c4a7cb2d060.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_8ec2db4f-7c68-42da-8beb-0c4a7cb2d060", + "keyword": [ + "Groundwater", + "InlandWaters", + "SUTRA", + "SUTRA-ice", + "Shenandoah National Park", + "Surface Water", + "Thermal", + "USGS:8ec2db4f-7c68-42da-8beb-0c4a7cb2d060", + "Virginia", + "environment", + "geoscientificInformation", + "inlandWaters", + "refugia" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-78.378933, 38.53969, -78.347222, 38.58403", + "theme": [ + "geospatial" + ], + "title": "Modeled temperature data developed for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia: U.S. Geological Survey data release" + }, + "description": "1D transient numerical simulations with a modified version of the SUTRA model \n(preliminary code) that accounts for variably-saturated freeze-thaw dynamics \n(e.g. McKenzie and Voss, 2013) to predict annual alluvial aquifer temperature \ndynamics using coupled fluid and heat transport physics. The model simulations \nwere run with a modified version of SUTRA_ICE (unreleased) that accomadates \na time-variable sinusiodal upper temperature boundary. This data release also \nincludes the source code and Argus One GUI files used to build the models, \nthough this proprietary software is not needed to run the models as described \nin the upper-level \"readme\" file.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/3b502053-c468-4aff-b720-c86377f639fe", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/3b502053-c468-4aff-b720-c86377f639fe/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_8ec2db4f-7c68-42da-8beb-0c4a7cb2d060", + "keyword": [ + "Groundwater", + "InlandWaters", + "SUTRA", + "SUTRA-ice", + "Shenandoah National Park", + "Surface Water", + "Thermal", + "USGS:8ec2db4f-7c68-42da-8beb-0c4a7cb2d060", + "Virginia", + "environment", + "geoscientificInformation", + "inlandWaters", + "refugia" + ], + "last_harvested_date": "2026-09-16T00:36:16.436933", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "U.S. Geological Survey", + "slug": "modeled-temperature-data-developed-for-study-of-shallow-mountain-bedrock-limits-seepage-ba", + "spatial_centroid": { + "lat": 38.557426, + "lon": -78.3662486 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -78.378933, + 38.53969 + ], + [ + -78.378933, + 38.58403 + ], + [ + -78.347222, + 38.58403 + ], + [ + -78.347222, + 38.53969 + ], + [ + -78.378933, + 38.53969 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Modeled temperature data developed for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia: U.S. Geological Survey data release", + "type": "dataset" + }, + { + "_score": 24.224087, + "_sort": [ + 1789518776699, + 24.224087, + 1, + "cc1e5a35-411e-412b-ae24-a35459c2a5ee" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Fred D Tillman", + "hasEmail": "mailto:ftillman@usgs.gov" + }, + "description": "hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group \n(HSG) for the Upper Colorado River Basin. The HSG for an area is determined by the least \nwater-transmitting layer in the soil column. The Natural Resources Conservation Service \n(NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow \npotential) to Group D (low infiltration capacity and high overland flow potential). In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://water.usgs.gov/lookup/getspatial?ofr_2015_1160_hsg_maurer_resolution", + "description": "Landing page for access to the data", + "format": "XML", + "mediaType": "application/http", + "title": "Digital Data" + }, + { + "@type": "dcat:Distribution", + "description": "The metadata original format", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.54f57f83-ee11-44ce-82d7-bb5f1e06e86f.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f", + "keyword": [ + "Arizona", + "California", + "Colorado", + "Nevada", + "New Mexico", + "USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f", + "Upper Colorado River Basin", + "Utah", + "Wyoming", + "environment", + "geoscientificInformation", + "groundwater", + "groundwater recharge", + "hydrologic soil group", + "inlandWaters" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-112.625, 35.125, -105.25, 43.75", + "theme": [ + "geospatial" + ], + "title": "Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. (2002) Climate Data resolution (hsg_UCRB_Maurer_resolution.asc)" + }, + "description": "hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group \n(HSG) for the Upper Colorado River Basin. The HSG for an area is determined by the least \nwater-transmitting layer in the soil column. The Natural Resources Conservation Service \n(NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow \npotential) to Group D (low infiltration capacity and high overland flow potential). In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/b6459563-4c36-4214-992e-a8a6001b879c", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/b6459563-4c36-4214-992e-a8a6001b879c/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f", + "keyword": [ + "Arizona", + "California", + "Colorado", + "Nevada", + "New Mexico", + "USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f", + "Upper Colorado River Basin", + "Utah", + "Wyoming", + "environment", + "geoscientificInformation", + "groundwater", + "groundwater recharge", + "hydrologic soil group", + "inlandWaters" + ], + "last_harvested_date": "2026-09-16T00:32:56.699154", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "U.S. Geological Survey", + "slug": "hydrologic-soil-group-for-the-upper-colorado-river-basin-in-maurer-et-al-2002-climate-data", + "spatial_centroid": { + "lat": 38.575, + "lon": -109.675 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -112.625, + 35.125 + ], + [ + -112.625, + 43.75 + ], + [ + -105.25, + 43.75 + ], + [ + -105.25, + 35.125 + ], + [ + -112.625, + 35.125 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. (2002) Climate Data resolution (hsg_UCRB_Maurer_resolution.asc)", + "type": "dataset" + }, + { + "_score": 31.968277, + "_sort": [ + 1789518681088, + 31.968277, + 1, + "bfcbbb22-7596-41f3-8562-e0d74b5eb014" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "John A Engott", + "hasEmail": "mailto:jaengott@usgs.gov" + }, + "description": "The shapefile associated with this metadata file represents the spatial distribution of mean annual \nwater-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components \nin the shapefile were computed by a water-budget model for a scenario representative of average \nclimate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific \nInvestigations Report (SIR) 2015-5010. The model was developed for estimating groundwater \nrecharge and other water-budget components for each subarea of the model. The model subareas \nwere generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets \nthat characterize the spatial distribution of rainfall, fog interception, irrigation, reference \nevapotranspiration, direct runoff, soil type, and land cover. These spatial data sets characterize \nthe spatial distribution of hydrologic and physical conditions that the model uses to compute \ngroundwater recharge and other water-budget components.The model-subarea data set (387,533 \npolygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt \naquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. Refer to USGS \nSIR 2015-5010 for further details of the methods and sources used to determine these \ncomponents and attributes.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://water.usgs.gov/lookup/getspatial?sir2015-5010_Oahu_WB_components_avg_climate", + "description": "Landing page for access to the data", + "format": "XML", + "mediaType": "application/http", + "title": "Digital Data" + }, + { + "@type": "dcat:Distribution", + "description": "The metadata original format", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.38975e2a-b3ce-44cd-bf4c-9c827c0e1309.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "keyword": [ + "Hawaii", + "Oahu", + "Pacific islands", + "USGS:38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "canopy evaporation", + "environment", + "evapotranspiration", + "fog interception", + "geoscientificInformation", + "groundwater recharge", + "inlandWaters", + "irrigation", + "rainfall", + "runoff", + "soil-water balance", + "storm-drain capture", + "water-budget model" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-158.282291463, 21.253656969, -157.644933809, 21.714009852", + "theme": [ + "geospatial" + ], + "title": "Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)" + }, + "description": "The shapefile associated with this metadata file represents the spatial distribution of mean annual \nwater-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components \nin the shapefile were computed by a water-budget model for a scenario representative of average \nclimate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific \nInvestigations Report (SIR) 2015-5010. The model was developed for estimating groundwater \nrecharge and other water-budget components for each subarea of the model. The model subareas \nwere generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets \nthat characterize the spatial distribution of rainfall, fog interception, irrigation, reference \nevapotranspiration, direct runoff, soil type, and land cover. These spatial data sets characterize \nthe spatial distribution of hydrologic and physical conditions that the model uses to compute \ngroundwater recharge and other water-budget components.The model-subarea data set (387,533 \npolygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt \naquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. Refer to USGS \nSIR 2015-5010 for further details of the methods and sources used to determine these \ncomponents and attributes.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/305be3b0-5ae6-4a4c-9908-11a220af8add", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/305be3b0-5ae6-4a4c-9908-11a220af8add/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "keyword": [ + "Hawaii", + "Oahu", + "Pacific islands", + "USGS:38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "canopy evaporation", + "environment", + "evapotranspiration", + "fog interception", + "geoscientificInformation", + "groundwater recharge", + "inlandWaters", + "irrigation", + "rainfall", + "runoff", + "soil-water balance", + "storm-drain capture", + "water-budget model" + ], + "last_harvested_date": "2026-09-16T00:31:21.088146", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "U.S. Geological Survey", + "slug": "mean-annual-water-budget-components-for-the-island-of-oahu-hawaii-for-average-climate-cond", + "spatial_centroid": { + "lat": 21.4377981222, + "lon": -158.02734840140002 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -158.282291463, + 21.253656969 + ], + [ + -158.282291463, + 21.714009852 + ], + [ + -157.644933809, + 21.714009852 + ], + [ + -157.644933809, + 21.253656969 + ], + [ + -158.282291463, + 21.253656969 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)", + "type": "dataset" + }, + { + "_score": 14.821851, + "_sort": [ + 1789518430638, + 14.821851, + 3, + "d54f5359-a6d4-43e5-b526-b61c064d5c2b" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Jennifer S. Stanton", + "hasEmail": "mailto:jstanton@usgs.gov" + }, + "description": "The water-budget components geodatabase contains selected data from maps in the, \n\"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 \nthrough 1949 and 2000 through 2009\" report (Stanton and others, 2011).Data were \ncollected and synthesized from existing climate models including the Parameter-Elevation \nRegressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow \naccumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water \nbalance models to compute various components of a water budget. The methodologies \nused to compute the averages and volumes for the data in this geodatabase are slightly \ndifferent for different components and models.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://water.usgs.gov/lookup/getspatial?ds777_High_Plains_water_budget_components-prism_precip_avein_4049", + "description": "Landing page for access to the data", + "format": "XML", + "mediaType": "application/http", + "title": "Digital Data" + }, + { + "@type": "dcat:Distribution", + "description": "The metadata original format", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.db072ee1-887b-4321-8f3d-cf18830e7a34.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_db072ee1-887b-4321-8f3d-cf18830e7a34", + "keyword": [ + "Colorado", + "Great Plains", + "High Plains", + "High Plains aquifer", + "Kansas", + "Nebraska", + "New Mexico", + "Ogallala aquifer", + "Oklahoma", + "Precipitation", + "South Dakota", + "Texas", + "USGS:db072ee1-887b-4321-8f3d-cf18830e7a34", + "Wyoming", + "aquifers", + "central High Plains", + "environment", + "geoscientificInformation", + "ground water", + "groundwater", + "inlandWaters", + "northern High Plains", + "southern High Plains" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-106.022041, 31.594384, -96.233280, 43.825034", + "theme": [ + "geospatial" + ], + "title": "DS-777 Average Annual Precipitation data, 1940 to 1949, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming" + }, + "description": "The water-budget components geodatabase contains selected data from maps in the, \n\"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 \nthrough 1949 and 2000 through 2009\" report (Stanton and others, 2011).Data were \ncollected and synthesized from existing climate models including the Parameter-Elevation \nRegressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow \naccumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water \nbalance models to compute various components of a water budget. The methodologies \nused to compute the averages and volumes for the data in this geodatabase are slightly \ndifferent for different components and models.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/cdcdda0a-b4dc-4405-b016-2988be38fa44", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/cdcdda0a-b4dc-4405-b016-2988be38fa44/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_db072ee1-887b-4321-8f3d-cf18830e7a34", + "keyword": [ + "Colorado", + "Great Plains", + "High Plains", + "High Plains aquifer", + "Kansas", + "Nebraska", + "New Mexico", + "Ogallala aquifer", + "Oklahoma", + "Precipitation", + "South Dakota", + "Texas", + "USGS:db072ee1-887b-4321-8f3d-cf18830e7a34", + "Wyoming", + "aquifers", + "central High Plains", + "environment", + "geoscientificInformation", + "ground water", + "groundwater", + "inlandWaters", + "northern High Plains", + "southern High Plains" + ], + "last_harvested_date": "2026-09-16T00:27:10.638563", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 3, + "publisher": "U.S. Geological Survey", + "slug": "ds-777-average-annual-precipitation-data-1940-to-1949-in-inches-estimated-from-the-paramet", + "spatial_centroid": { + "lat": 36.486644, + "lon": -102.1065366 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -106.022041, + 31.594384 + ], + [ + -106.022041, + 43.825034 + ], + [ + -96.23328, + 43.825034 + ], + [ + -96.23328, + 31.594384 + ], + [ + -106.022041, + 31.594384 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "DS-777 Average Annual Precipitation data, 1940 to 1949, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming", + "type": "dataset" + }, + { + "_score": 14.8532, "_sort": [ 1789517951378, - 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This data was collected using water samples collected in association with other intertidal biodiversity monitoring protocols developed specifically for the mixed coarse substrate habitat found on the inner islands of Boston Harbor, including Gallops, Georges, Lovell (alternatively known as Lovells Island), Peddocks, and Thompson Island. Species were identified using an eDNA metabarcoding approach targeting the 12s (vertebrate) and 18s (invertebrate and macro algae) gene regions. Total read count scores for species detected are reported, with scores greater than 1 signaling a positive detection, and scores of 0 signaling no detection. Data included in this release was used to determine community composition and diversity metrics across high biodiversity and erosional sites for the 5 islands.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P1TNRR6Z", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.66cf2a9bd34e98e8a924b8a5.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_66cf2a9bd34e98e8a924b8a5", - "keyword": [ - "Boston Harbor", - "Boston Harbor Islands National and State Park", - "Environmental DNA", - "Macro algae", - "Marine invertebrates", - "Metabarcoding", - "Mixed coarse substrate", - "USGS:66cf2a9bd34e98e8a924b8a5", - "Vertebrates", - "biodiversity", - "biota", - "climate change", - "eDNA", - "oceans" - ], - "modified": "2026-09-11T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-71.0100, 42.2500, -70.8600, 42.3600", - "theme": [ - "geospatial" - ], - "title": "2023 Environmental DNA (eDNA) Baseline to Monitor Intertidal Biodiversity in Waters Adjacent to Mixed Coarse Substrate Habitats Across the Boston Harbor Islands" - }, - "description": "This data set contains environmental DNA (eDNA) data enumerating the presence of intertidal marine vertebrates, invertebrates, and macro algae collected across 5 islands with 10 sites in the Boston Harbor in 2023. 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The species projection file has the results of the predicted probabilities of occurrence for each species of freshwater fish and mussel, at the HUC12 scale, for each of the seven scenarios: 1. baseline, 2. climate change, 3. climate change and dam removal, 4. climate change and natural riparian restoration, 5. climate change and riparian impervious removal, 6. climate change and watershed forest, and 7. climate change and a combination of numbers 3 through 6. The full methods for the fish models are described in the cited manuscript, Rogers et al., (2025); briefly, zero-inflated beta models (one for each fish species) were used to simultaneously model the probability of species occurrence and the predicted relative abundance of each fish species at the NHD Version 2 stream reach scale. The predicted probability of occurrence (from the binomial portion of the model) of each fish species at the stream reach level was averaged over the HUC12 scale to get the probability of occurrence of each of the 53 fish species by HUC12. The full methods for the mussel models are also described in Rogers et al., (In Prep); briefly we fit 12 logistic regression models (one for each mussel species) using the glm function in the stats package and the family of models set to ‘binomial’. The mussel models were fit using presence and absence data at the HUC12 scale and covariate data that was averaged across the HUC12. 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Freshwater fish and mussels survey records were used to fit species specific models that predict the probability of occurrence. The list of covariates is largely the same as the covariates released in the cross-referenced data set from Rogers et al., (2025); here, the covariate file shows the covariates used in this analysis that were not also used in the prior analysis. The species projection file has the results of the predicted probabilities of occurrence for each species of freshwater fish and mussel, at the HUC12 scale, for each of the seven scenarios: 1. baseline, 2. climate change, 3. climate change and dam removal, 4. climate change and natural riparian restoration, 5. climate change and riparian impervious removal, 6. climate change and watershed forest, and 7. climate change and a combination of numbers 3 through 6. The full methods for the fish models are described in the cited manuscript, Rogers et al., (2025); briefly, zero-inflated beta models (one for each fish species) were used to simultaneously model the probability of species occurrence and the predicted relative abundance of each fish species at the NHD Version 2 stream reach scale. The predicted probability of occurrence (from the binomial portion of the model) of each fish species at the stream reach level was averaged over the HUC12 scale to get the probability of occurrence of each of the 53 fish species by HUC12. The full methods for the mussel models are also described in Rogers et al., (In Prep); briefly we fit 12 logistic regression models (one for each mussel species) using the glm function in the stats package and the family of models set to ‘binomial’. The mussel models were fit using presence and absence data at the HUC12 scale and covariate data that was averaged across the HUC12. 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T2P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data is then used as input to the model.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P19SX4T8", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6a0e8faf-6aa4-4e1b-b4c7-e9044a10ac3f.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a0e8faf-6aa4-4e1b-b4c7-e9044a10ac3f", - "keyword": [ - "McKenzie River Basin", - "Oregon", - "SWE", - "USGS:6a0e8faf-6aa4-4e1b-b4c7-e9044a10ac3f", - "climate change", - "climatologyMeteorologyAtmosphere", - "effects of climate change", - "environment", - "external research support", - "geospatial datasets", - "modeling", - "precipitation (atmospheric)", - "snow water equivalent" - ], - "modified": "2026-09-10T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-123.1290, 43.8333, -121.7185, 44.5237", - "theme": [ - "geospatial" - ], - "title": "Historical and Climate‑Scenario Snow‑Water Equivalent Conditions and Change Metrics under T2 and T2p10 Scenarios for the McKenzie River Basin, Oregon" - }, - "description": "We used the observed historical meteorology and mean modeled snow-water-equivalent for the reference period (1989-2009) and mean modeled snow-water-equivalent under two climate change scenarios, T2 and T2P10.\nIn the T2 scenario the observed historical (reference period) meteorology is perturbed by adding +2oC to each daily temperature record in the reference period meteorology, and this data is then used as input to the model. 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T2P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data is then used as input to the model.", - "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/4e838c0a-2422-4d25-b80b-9da27064c317", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/4e838c0a-2422-4d25-b80b-9da27064c317/raw", - "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a0e8faf-6aa4-4e1b-b4c7-e9044a10ac3f", - "keyword": [ - "McKenzie River Basin", - "Oregon", - "SWE", - "USGS:6a0e8faf-6aa4-4e1b-b4c7-e9044a10ac3f", - "climate change", - "climatologyMeteorologyAtmosphere", - "effects of climate change", - "environment", - "external research support", - "geospatial datasets", - "modeling", - "precipitation (atmospheric)", - "snow water equivalent" - ], - "last_harvested_date": "2026-09-13T00:28:27.799211", - "organization": { - "aliases": [ - "dept" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Gov + "description": "This data set contains environmental DNA (eDNA) data enumerating the presence of intertidal marine vertebrates, invertebrates, and macro algae collected across 5 islands with 10 sites in the Boston Harbor in 2023. This data was collected using water samples collected in association with other intertidal biodiversity monitoring protocols developed specifically for the mixed coarse substrate habitat found on the inner islands of Boston Harbor, including Gallops, Georges, Lovell (alternatively known as Lovells Island), Peddocks, and Thompson Island. Species were identified using an eDNA metabarcoding approach targeting the 12s (vertebrate) and 18s (invertebrate and macro algae) gene regions. Total read count scores for species detected are